Visualization of Neuron Data using Nonlinear Technic

In our previous study, we have proposed the method to use nonlinear time-series analysis to apply to neuronal data for visualizing a characteristic of neurons. We set up three types of neuron data which are observed at different days. By applying three nonlinear time-series analysis, we confirmed that the youngest neuron has strong activity and the neuronal behavior settles down as the day goes on. In this study, we investigate the effect of the delay parameter of attractor reconstruction of nonlinear time-series analysis. From observed results, we can see that the appropriate value of delay parameter exists to display the network characteristics.